Xiangxin Zhou

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Xiangxin Zhou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andreas Geiger
  2. Sergey Ioffe
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Charles Ruizhongtai Qi
  6. Alex Krizhevsky
  7. Ross B. Girshick
  8. Christian Szegedy
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Xiangxin Zhou overall

  1. Junjie Huang
  2. Tianwei Yin
  3. Yingfei Liu
  4. Xingyi Zhou

Papers from Xiangxin Zhou's perspective

Ordered by how strongly the researchers Xiangxin Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers